Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP)

Ashish Sarraju, Clark Seninger, Vijaya Parameswaran, Christina Petlura, Tamara Bazouzi, Kiranbir Josan, Upinder Grewal, Thomas Viethen, Hardi Mundl, Joachim Luithle, Leonard Basobas, Alexis Touros, Michael J T Senior, Koen De Lombaert, Kenneth W Mahaffey, Mintu P Turakhia, Rajesh Dash, Ashish Sarraju, Clark Seninger, Vijaya Parameswaran, Christina Petlura, Tamara Bazouzi, Kiranbir Josan, Upinder Grewal, Thomas Viethen, Hardi Mundl, Joachim Luithle, Leonard Basobas, Alexis Touros, Michael J T Senior, Koen De Lombaert, Kenneth W Mahaffey, Mintu P Turakhia, Rajesh Dash

Abstract

The Coronavirus Disease 2019 (COVID-19) pandemic curtailed clinical trial activity. Decentralized clinical trials (DCTs) can expand trial access and reduce exposure risk but their feasibility remains uncertain. We evaluated DCT feasibility for atrial fibrillation (AF) patients on oral anticoagulation (OAC). DeTAP (Decentralized Trial in Afib Patients, NCT04471623) was a 6-month, single-arm, 100% virtual study of 100 AF patients on OAC aged >55 years, recruited traditionally and through social media. Participants enrolled and participated virtually using a mobile application and remote blood pressure (BP) and six-lead electrocardiogram (ECG) sensors. Four engagement-based primary endpoints included changes in pre- versus end-of-study OAC adherence (OACA), and % completion of televisits, surveys, and ECG and BP measurements. Secondary endpoints included survey-based nuisance bleeding and patient feedback. 100 subjects (mean age 70 years, 44% women, 90% White) were recruited in 28 days (traditional: 6 pts; social media: 94 pts in 12 days with >300 waitlisted). Study engagement was high: 91% televisits, 85% surveys, and 99% ECG and 99% BP measurement completion. OACA was unchanged at 6 months (baseline: 97 ± 9%, 6 months: 96 ± 15%, p = 0.39). In patients with low baseline OACA (<90%), there was significant 6-month improvement (85 ± 16% to 96 ± 6%, p < 0.01). 86% of respondents (69/80) expressed willingness to continue in a longer trial. The DeTAP study demonstrated rapid recruitment, high engagement, and physiologic reporting via the integration of digital technologies and dedicated study coordination. These findings may inform DCT designs for future cardiovascular trials.

Conflict of interest statement

A.S. reports research support from the American Heart Association. U.G., T.V., H.M., and J.L. are employees of Bayer A.G. M.J.T.S. is an employee of Huma Therapeutics Ltd. K.D.L. is an employee of Yuzu Labs PBC. K.W.M.’s financial disclosures can be viewed at http://med.stanford.edu/profiles/kenneth-mahaffey. M.P.T. reports receiving research support from Janssen Inc., American Heart Association, Bristol Myers Squibb, Bristol Myers Squibb- Pfizer Alliance, Bayer, Apple, Boehringer-Ingelheim, AstraZeneca, and the National Institutes of Health; reports data use agreements for research with Medtronic and iRhythm; has received consulting fees from Abbott, Cardiva Medical, Medtronic, Johnson & Johnson, and Biotronik; has unexercised equity options in AliveCor Inc; and is an Associate Editor for JAMA Cardiology, Co-Chair of the Heart Rhythm Society Digital Health Subcommittee, and on the Editorial Board of Cardiovascular Digital Health Journal. R.D. reports equity from HealthPals, Heartbeam, and iMedrix; and consulting with Bayer and AstraZeneca. The remaining authors declare no competing interests.

© 2022. The Author(s).

Figures

Fig. 1. DeTAP recruitment and enrollment flow.
Fig. 1. DeTAP recruitment and enrollment flow.
Participants were recruited through both traditional and social media methods. This figure outlines the flow of participant recruitment and enrollment.
Fig. 2. DeTAP trial recruitment volumes over…
Fig. 2. DeTAP trial recruitment volumes over time with traditional and virtual, social media-based recruitment.
IRB Institutional Review Board, FB facebook, SMS short message service (text messaging service), VoIP Voice over internet protocol (Figure provided by StudyPages, Yuzu Labs PBC).
Fig. 3. DeTAP study protocol flow.
Fig. 3. DeTAP study protocol flow.
SCCR Stanford Center for Clinical Research, OAC oral anticoagulant, EKG electrocardiogram, BP blood pressure, HR heart rate, DeTAP decentralized trial in afib patients, App smartphone/mobile application, AF atrial fibrillation, AEs adverse events.

References

    1. Huang GD, et al. Clinical trials recruitment planning: a proposed framework from the Clinical Trials Transformation Initiative. Contemp. Clin. Trials. 2018;66:74–79. doi: 10.1016/j.cct.2018.01.003.
    1. Xue JZ, et al. Clinical trial recovery from COVID-19 disruption. Nat. Rev. Drug Disco. 2020;19:662–663. doi: 10.1038/d41573-020-00150-9.
    1. Inan OT, et al. Digitizing clinical trials. NPJ Digit. Med. 2020;3:101. doi: 10.1038/s41746-020-0302-y.
    1. Dorsey ER, Kluger B, Lipset CH. The new normal in clinical trials: decentralized studies. Ann. Neurol. 2020;88:863–866. doi: 10.1002/ana.25892.
    1. Ramsey TM, et al. Recruitment strategies and challenges in a large intervention trial: systolic blood pressure intervention trial. Clin. Trials. 2016;13:319–330. doi: 10.1177/1740774516631735.
    1. Steinhubl SR, et al. Effect of a home-based wearable continuous ECG monitoring patch on detection of undiagnosed atrial fibrillation: the mSToPS randomized clinical trial. JAMA. 2018;320:146–155. doi: 10.1001/jama.2018.8102.
    1. Perez MV, et al. Large-scale assessment of a smartwatch to identify atrial fibrillation. N. Engl. J. Med. 2019;381:1909–1917. doi: 10.1056/NEJMoa1901183.
    1. Lubitz SA, et al. Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: the Fitbit heart study. Am. Heart J. 2021;238:16–26. doi: 10.1016/j.ahj.2021.04.003.
    1. Guo Y, et al. Mobile photoplethysmographic technology to detect atrial fibrillation. J. Am. Coll. Cardiol. 2019;74:2365–2375. doi: 10.1016/j.jacc.2019.08.019.
    1. Sarraju A, Maron DJ, Rodriguez F. Under-reporting and under-representation of racial/ethnic minorities in major atrial fibrillation clinical trials. JACC Clin. Electrophysiol. 2020;6:739–741. doi: 10.1016/j.jacep.2020.03.001.
    1. Clark LT, et al. Increasing diversity in clinical trials: overcoming critical barriers. Curr. Probl. Cardiol. 2019;44:148–172. doi: 10.1016/j.cpcardiol.2018.11.002.
    1. Willis A, Isaacs T, Khunti K. Improving diversity in research and trial participation: the challenges of language. Lancet Public Health. 2021;6:e445–e446. doi: 10.1016/S2468-2667(21)00100-6.
    1. Merid B, Robles MC, Nallamothu BK. Digital redlining and cardiovascular innovation. Circulation. 2021;144:913–915. doi: 10.1161/CIRCULATIONAHA.121.056532.
    1. Choi, E. Y., Kanthawala, S., Kim, Y. S. & Lee, H. Y. Urban/rural digital divide exists in older adults: does It vary by racial/ethnic groups? J. Appl. Gerontol.10.1177/07334648211073605 (2022).
    1. Yoon H, Jang Y, Vaughan PW, Garcia M. Older adults’ internet use for health information: digital divide by race/ethnicity and socioeconomic status. J. Appl. Gerontol. 2020;39:105–110. doi: 10.1177/0733464818770772.
    1. Avram R, et al. A digital biomarker of diabetes from smartphone-based vascular signals. Nat. Med. 2020;26:1576–1582. doi: 10.1038/s41591-020-1010-5.
    1. Inan OT, et al. Novel wearable seismocardiography and machine learning algorithms can assess clinical status of heart failure patients. Circ. Heart Fail. 2018;11:e004313. doi: 10.1161/CIRCHEARTFAILURE.117.004313.
    1. Whittingslow DC, et al. Acoustic emissions as a non-invasive biomarker of the structural health of the knee. Ann. Biomed. Eng. 2020;48:225–235. doi: 10.1007/s10439-019-02333-x.
    1. Zhan A, et al. Using smartphones and machine learning to quantify Parkinson disease severity: the mobile Parkinson disease score. JAMA Neurol. 2018;75:876–880. doi: 10.1001/jamaneurol.2018.0809.
    1. Haynes, R. B., Ackloo, E., Sahota, N., McDonald, H. P. & Yao, X. Interventions for enhancing medication adherence. Cochrane Database Syst Rev. 10.1002/14651858.CD000011.pub3 (2008).
    1. Komen, J. J. et al. Persistence and adherence to non-vitamin K antagonist oral anticoagulant treatment in patients with atrial fibrillation across five Western European countries. Europace10.1093/europace/euab091 (2021).

Source: PubMed

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